Strategic Partnerships Manager

Cargurus

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview We are looking for a highly motivated self-starter to help support the growth of new business initiatives at CarGurus. This person will have the unique opportunity to support the launch, management and optimization of CarGurus strategic partnerships. The role will be highly cross-functional and a successful candidate will possess analytical horsepower as well as strong communication and organizational qualities.   What you'll do * Evaluate new and complementary partnership opportunities across the automotive and technology industries to inform buy, build, partner decisions * Identify operational, process optimization and growth opportunities for existing partnerships * Support in the negotiation of contracts and agreements with vendors, partners and other third parties * Conduct in-depth, data-driven analysis to help inform team and business decisions * Build influential presentations and models that communicate key insights and recommendations * Build influential relationships with people and companies throughout the automotive and technology industries * Solve (often) undefined or abstract tactical or strategic challenges * Contribute to achievement of dynamic business development team goals   What you'll bring * 3+ years of professional experience, with a background in partnerships, business/corporate development, and/or relationship management preferred * Bachelor’s degree strongly preferred  * Track-record of outstanding academic and professional achievement * Data-oriented thinker with an excellent analytical and problem-solving skillset * Self-motivated, well-organized and detail-oriented * Strong communication and presentation-building skills * High degree of professional and personal integrity * Able to thrive in a dynamic environment * Expert in Microsoft google suite   The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $97,000—$121,000 USD Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

Toast

Role Overview This role serves as the data leader and technical authority for Customer Success data at Toast. You will own the strategy and execution of CS data modeling initiatives -- redesigning the CS data model from the ground up and defining how data is accessed, queried, and served across the organization.   The CS data model needs to work reliably in two modes: as a structured foundation for dashboards, reporting, and operational metrics, and as a well-documented, trustworthy layer that AI systems can query consistently. Building for both -- and making deliberate architectural decisions about when each approach is appropriate -- is central to this role.   This is an embedded role, sitting inside the CS organization. CS data problems are business problems first -- understanding how customers are being supported, where friction exists, and what patterns predict risk or opportunity requires close proximity to the teams asking those questions. This role is positioned to build that context directly and translate it into data architecture decisions.   You will lead a small team of two senior data and analytics engineers to start, with room to grow as the function matures.   What You'll Do Data Architecture & AI Data Strategy * Own the redesign of the unified CS data model, connecting data across Care, CX, Enablement, and CSS teams and source systems including our new contact center platform. * Define and execute the AI data strategy for CS -- specifically, how AI accesses, queries, and interacts with the data model. This means making active architectural decisions about when to pre-calculate and structure data versus when to allow dynamic AI retrieval, with predictability and consistency of outputs as the governing constraint. * Build and maintain a documentation layer that functions as a first-class artifact -- not an afterthought. Reliable AI data access depends on well-structured, accurate documentation, and this person will treat it that way. * Develop and apply a clear framework for when AI is the right tool versus traditional data approaches. Part of the job is pushing back when AI is unnecessary or introduces reliability risk.   Platform & Pipeline Development * Lead the data integration for the contact center platform migration, ensuring clean, well-modeled contact data flows into the CS data layer from day one. * Design and optimize pipelines for analytics, reporting, and AI/ML-driven use cases. * Establish testing, monitoring, and alerting as standard practice across CS pipelines -- freshness checks, completeness validation, anomaly detection. Stakeholders should never be the first to know something is broken.   Leadership & Cross-functional Partnership * Manage and mentor two senior data and analytics engineers, providing clear direction and building a high-performance team from the ground up. * Serve as the primary data architecture partner for CS analytics and operations leaders, translating business problems into data model and tooling decisions. * Collaborate closely with cross-functional peers in CS analytics, enterprise data infrastructure, finance, and business technology to align on KPI definitions, data lineage, and governance standards. * Represent CS data interests in enterprise governance forums, ensuring security, compliance, and architecture standards are met.   Enablement & Governance * Ensure CS data is accurate, accessible, and trusted by the teams who depend on it -- from strategic OKRs down to operational dashboards. * Maintain a shared KPI dictionary, data lineage map, and self-service analytics framework in partnership with centralized data teams. * Establish clear SLAs for data delivery and processes for ongoing data quality monitoring.   What We're Looking For Required Qualifications * 10+ years of experience in data platform, data modeling, or analytics engineering roles, with at least 3 years in a leadership capacity. * Experience designing data models with AI consumption in mind -- structuring for retrieval versus pre-calculation tradeoffs, ensuring predictability of outputs, and understanding that documentation is infrastructure, not overhead. * Hands-on experience with modern data stack tools -- Snowflake, dbt, or equivalent -- including building or maintaining a semantic layer that ensures consistent metric definitions across BI tools, notebooks, and AI agents. * A track record of treating pipelines like software: automated tests, schema validation, freshness and completeness monitoring, and changes that go through review before they reach production. You have been burned by silent data failures and build accordingly. * Proven ability to diagnose systemic data quality and architecture problems and redesign from the ground up -- not just patch on top of what exists. * Strong cross-functional communication skills -- you can translate complex data architecture decisions for non-technical business stakeholders.   Preferred Qualifications * Experience working in Customer Success, SaaS, or customer-facing operational analytics environments. * Familiarity with Snowflake and modern orchestration frameworks (dbt, Airflow, or equivalent). * Background that skews toward data modeling and transformation work -- you think in terms of data models, schemas, and semantic layers rather than services and application infrastructure. * Experience with BI tools and dashboarding. * Familiarity with real-time data streaming technologies (Kafka, Kinesis, or equivalent).   Who Will Thrive Here * You are energized by greenfield work. This role is building something new, and the fingerprints you leave on the data model and AI strategy will be visible and lasting. * You are comfortable with a lean team today. Two direct reports to start, with room to grow -- this is not a role for someone who needs org size to feel impactful. * You have the judgment to advocate for the right use of AI, including knowing when not to use it. The goal is a trustworthy, reliable data layer -- not AI for its own sake. * You are a builder first. Strategy matters, but so does the ability to roll up your sleeves and make decisions at the implementation level.   The base salary range for this role is listed below. The starting salary will be determined based on skills, experience, and geographic location. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions if eligible), equity, and benefits. You can learn more about how we align pay with local labor markets in our Geographic Pay Zone Philosophy. Zone A $217,000—$347,000 USD Zone B $188,000—$301,000 USD Zone C $170,000—$272,000 USD How Toast Uses AI in its Hiring Process Throughout the hiring process, our goal is to get to know you. We use AI tools to support our recruiters and interviewers with tasks like note-taking, summarization, and documentation of interviews to ensure they can be fully focused on your conversation. All hiring decisions are made by people. To learn more: https://careers.toasttab.com/ai-in-hiring Our Approach to Hybrid Working We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the hospitality community, regardless of location. Please visit the Locations page on our career site to learn more about our in-office expectations by region: https://careers.toasttab.com/locations-toast Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient—when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https://careers.toasttab.com/locations-toast. Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Cargurus

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we’re the largest and fastest-growing automotive marketplace, and we’ve been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and ~30,000 dealerships use our products. But they're not the only ones who love CarGurus—our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus is building Enterprise Data Solutions (EDS), a new customer facing solution that packages data and analytics based on CarGurus core assets. Our objective is to leverage our differentiated marketplace data (Search Trends, Price Trends, Inventory Trends, and a growing portfolio of derived signals) to develop governed, exportable datasets for OEMs, lenders, insurers, investors, agencies, and consultants. This role spans the full lifecycle of an Enterprise Data asset, from creation through productization. You will both build the underlying data assets (modeling, aggregation, quality) and shape them into externally consumable products (schema, delivery, documentation, SLAs, customer feedback). It blends product management discipline with hands-on data analytics ownership, ensuring every asset we deliver is credible, governed, repeatable, and customer-ready from day one.This is a 0-to-1 builder role. The successful candidate will translate an inbound demand signal or commercial hypothesis into a production-ready data product, defining the schema, delivery mechanism, documentation, SLAs, and feedback loop, and partner with Strategy, Engineering, Product, Data Science, Legal, and GTM to bring it to market. What you'll do * Own the end-to-end definition of EDS data products, starting with Search Trends, Price Trends, and Inventory Trends, and extending into the broader EDS portfolio (e.g., Market Days Supply, Demand Relative to Supply, Estimated Retail Sales). * Translate inbound customer signals and commercial hypotheses into clearly scoped data products: row/column structure, granularity, historical depth, refresh cadence, aggregation standards, and governance posture. * Productionalize a controlled set of exportable datasets that are repeatable, governed, and exportable in a manner that meets external SLAs and data-quality standards. * Lead product-level design sessions to define MVP scope, delivery approach (Snowflake share, SFTP, API), and required engineering investment. * Define and document customer-facing artifacts: data dictionaries, sample assets, schema documentation, and use-case framing for each asset. * Conceive of new data assets and prototype them via automated transformations (primarily using DBT). Partner with Data Engineering teams to optimize, integrate, and distill raw logs and metadata, advancing the company’s core data architecture and modeling . Draw upon prior experience with expansive, unrefined datasets (e.g., user * clickstream data) to fix modeling bottlenecks in quick, scalable, outside-of-the-box ways. * Partner with Engineering to specify operational stability requirements, expected SLAs, support coverage, monitoring, and incident response, for assets being consumed externally. * In partnership with the broader Data team, establish the standards and templates for how a CarGurus data asset becomes a saleable EDS product: readiness criteria, governance review, pricing/packaging input, and handoff to GTM. * Define and operate the customer feedback loop, capturing signals from sales conversations and pilot customers and translating it into asset evolution, packaging changes, and roadmap inputs. * In partnership with the broader Data team, build a productization framework that can be extended across the broader monetization portfolio so that learnings, standards, and shared assets are reused, not duplicated. What you'll bring * 6+ years of experience in Data Analytics, Data Product Management, Analytics Engineering, or a hybrid role combining data architecture with product ownership. * Demonstrated experience taking a data asset from concept to externally consumable product, including schema design, documentation, governance, and delivery via at least one of: Snowflake data share, SFTP, or API. * Strong product instincts: ability to define scope, make tradeoffs, set readiness criteria, and own a roadmap, not just execute against requirements. * Deep SQL fluency and working knowledge of modern data stack tooling (dbt, Snowflake, Looker/Omni, Snowplow or equivalent event infrastructure). * Track record of operating in a cross-functional environment, partnering with Engineering, Strategy, Legal, and GTM stakeholders, and driving alignment across senior leaders. * Comfort with ambiguity; ability to set direction in a 0-to-1 environment where standards and templates do not yet exist. * A natural thought leader with a proven track record of influencing business strategy * Experience leveraging Gen AI to optimize workflows, create tooling, and otherwise enhance your ability to execute * Deep understanding of and experience using analytical concepts and statistical techniques in the following areas: hypothesis testing, building advanced python scripts to automate rigorous statistical analyses, invoking/understanding parametric and nonparametric regression techniques, and more * Experience engaging directly with end customers or customer-facing teams to gather real-world product feedback, translate user needs into analytical requirements, and refine data assets based on how they are actually consumed * Experience launching or scaling a commercial data product, data marketplace listing, or external data-sharing relationship is preferred. * Familiarity with Snowflake Marketplace, data clean rooms, and external data delivery patterns is preferred. * Exposure to automotive, marketplace, or B2B SaaS data domains is preferred. * Experience defining SLAs, monitoring frameworks, and operational support models for externally consumed data is preferred. * Preferred tools/programs: Snowflake, Snowplow, DBT, Python, Looker/LookML, Jira, Google/MS suite, Omni. The displayed range represents the expected annual base salary / On-Target Earnings (OTE) for this position. On-Target Earnings (OTE) is inclusive of base salary and on-target commission earnings, which applies exclusively to sales roles. Individual pay within this range is determined by work location and other factors such as job-related skills, experience, and relevant education or training. This annual base salary forms part of a comprehensive Total Rewards Package. In addition to benefits, this role may qualify for discretionary bonuses/incentives and Restricted Stock Units (RSUs). Position Pay Range $148,000—$185,000 USD Working at CarGurus We reward our Gurus’ curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. CarGurus may require in-person interviews as part of our hiring process, particularly for positions based in our Boston and Dublin offices. Candidates selected for an in-person interview will be notified in advance. Please be aware that travel expenses are the responsibility of the candidate. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential—starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That’s why we hope you’ll apply even if you don’t check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid